Calcium signal transduction is a central mechanism by which plants sense and respond to endogenous and environmental stimuli. Cytosolic Ca2+ elevation is achieved via two cellular pathways, Ca2+ influx through Ca2+ channels in the plasma membrane and Ca2+ release from intracellular Ca2+ stores. Because of the significance of Ca2+ channels in cellular signaling, interaction with the environment and developmental processes in plants, a great deal of effort has been invested in recent years with regard to these important membrane proteins. Because of limited space, in this review we focus on recent findings giving insight into both the molecular identity and physiological function of channels that have been suggested to be responsible for the elevation in cytosolic Ca2+ level, including cyclic nucleotide gated channels, glutamate receptor homologs, two‐pore channels and mechanosensitive Ca2+‐permeable channels. We provide an overview of the regulation of these Ca2+ channels and their physiological roles and discuss remaining questions.
Functional coordination between DNA replication helicases and DNA polymerases at replication forks, achieved through physical linkages, has been demonstrated in prokaryotes but not in eukaryotes. In Saccharomyces cerevisiae, we showed that mutations that compromise the activity of the MCM helicase enhance the physical stability of DNA polymerase ␣ in the absence of their presumed linker, Mcm10. Mcm10 is an essential DNA replication protein implicated in the stable assembly of the replisome by virtue of its interaction with the MCM2-7 helicase and Pol␣. Dominant mcm2 suppressors of mcm10 mutants restore viability by restoring the stability of Pol␣ without restoring the stability of Mcm10, in a Mec1-dependent manner. In this process, the single-stranded DNA accumulation observed in the mcm10 mutant is suppressed. The activities of key checkpoint regulators known to be important for replication fork stabilization contribute to the efficiency of suppression. These results suggest that Mcm10 plays two important roles as a linker of the MCM helicase and Pol␣ at the elongating replication fork-first, to coordinate the activities of these two molecular motors, and second, to ensure their physical stability and the integrity of the replication fork.The key players of the replication machinery are the DNA polymerases that synthesize the leading and lagging daughter strands and the replicative helicase that unwinds the parental strands ahead of the polymerases. Coordination between the helicase and the polymerases is critical during replication. Uncoupling of these two molecular machines, especially during lagging strand synthesis, may result in an unrestrained helicase and the exposure of extensive single-stranded DNA (ssDNA), as observed in checkpoint mutants treated with hydroxyurea (HU) (37). Although there is no direct evidence, the implication is that the replicative helicase would be moving at a faster pace than would the DNA polymerase if synchrony were destroyed. In Escherichia coli, the replicative helicase (DnaB) and the primase (DnaG) are coupled by direct contact to form a tight complex (3). In T7, processivity of the gp5 polymerase in lagging strand synthesis requires coupling to the gp4 helicase (16). Recent studies of the budding yeast Saccharomyces cerevisiae suggest that Mrc1 may couple DNA polymerase ε and the MCM helicase on the leading strand as well as activate the checkpoint response under replication stress (1,22,28). A candidate for coupling DNA polymerase ␣ primase and the MCM helicase on the lagging strand is Mcm10, because Mcm10 interacts with subunits of the Mcm2-7 helicase (26, 29) as well as Pol␣ (14, 33) and the stability of Pol␣ requires Mcm10 in both budding yeast and human cells (8,33). Mcm10 is an essential protein known to be involved in various aspects of the replication process. It is required during both initiation and elongation steps of DNA replication and interacts with a wide range of replication factors, such as ORC (17,23,29), MCM helicase, DNA polymerases ε and ␦ (23), Cdc45 (...
BackgroundThe rapid pace of bioscience research makes it very challenging to track relevant articles in one’s area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year. Thus it is not surprising to see active research in building new document retrieval and sentence retrieval systems. We present Ferret, a prototype retrieval system, designed to retrieve and rank sentences (and their documents) conveying gene-centric relationships of interest to a scientist. The prototype has several features. For example, it is designed to handle gene name ambiguity and perform query expansion. Inputs can be a list of genes with an optional list of keywords. Sentences are retrieved across species but the species discussed in the records are identified. Results are presented in the form of a heat map and sentences corresponding to specific cells of the heat map may be selected for display. Ferret is designed to assist bio scientists at different stages of research from early idea exploration to advanced analysis of results from bench experiments.ResultsThree live case studies in the field of plant biology are presented related to Arabidopsis thaliana. The first is to discover genes that may relate to the phenotype of open immature flower in Arabidopsis. The second case is about finding associations reported between ethylene signaling and a set of 300+ Arabidopsis genes. The third case is on searching for potential gene targets of an Arabidopsis transcription factor hypothesized to be involved in plant stress responses. Ferret was successful in finding valuable information in all three cases. In the first case the bZIP family of genes was identified. In the second case sentences indicating relevant associations were found in other species such as potato and jasmine. In the third sentences led to new research questions about the plant hormone salicylic acid.ConclusionsFerret successfully retrieved relevant gene-centric sentences from PubMed records. The three case studies demonstrate end user satisfaction with the system.
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